资 源 简 介
The visualization system is using JMonkey Engine. And the artificial intelligence of the agent that is being simulated is using RVO system from University of North Carolina at Chapel Hill.
This tool consists of two components, the map defining component and agent simulation component. The map define component help user to easily define a corresponding 2d road map scenario that is used in RVO system. The simulation component allows user to inspect the simulation real time in 3D, and allows user to use a tracking camera to track any one of the agent or using a global view camera to see the whole view of the simulation.
文 件 列 表
Doors & Windows.Door Hardware.Chrome.Satin.jpg
fassseit.jpg
fw12b.jpg
glas.jpg
Grycon3.jpg
highway.jpg
lilyTex.jpg
m1.jpg
mulch.jpg
mulch-bu.jpg
mulch-bump.jpg
New-panorama-4.jpg
parking-.jpg
parking-lot-2.jpg
parking-lot-opacity.jpg
planks1.jpg
planks02.jpg
putz.jpg
road-pai.jpg
road-paint.jpg
sidewalk.jpg
sidewalk-concrete.jpg
sidewalk-concrete-bump.jpg
skyWarp_blue2.jpg
stone.jpg
Stop-sig.jpg
Stop-sign.jpg
stroh_3.jpg
stucco-wall-bump.jpg
stucco-y.jpg
stucco-yellow.jpg
Tile112-.jpg
Tile112-original_small.jpg
wand1.jpg
Yellobrk.JPG
marine.tga
sarge.tga
ANIM_IntMarine_Stand.anim
ANIM_IntMarine_Walk.anim
properties.cfg
log.conf
Sample.conf
rvoVisual.jar
contra.def
crowded.def
empty.def
env.def
复件 env.def
Start RVO Simulation.bat
townBeta.xml
littleTown.xml
MESH_IntMarine.xml
110.jpg
asph03.jpg
brushed .jpg
brushed metal.jpg
Concrete.Cast-In-Place.Flat.Grey.2.bump.jpg
Concrete.Cast-In-Place.Flat.Grey.2.jpg
Concrete.Cast-In-Place.Flat.Polished.Grey.jpg
dirt.jpg
door24.jpg
